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pro vyhledávání: '"Jacob Jacavage"'
Autor:
Constantin Bacuta, Jacob Jacavage
Publikováno v:
Results in Applied Mathematics, Vol 8, Iss , Pp 100105- (2020)
We consider a mixed variational formulation for the reaction–diffusion problem based on a saddle point least square approach with an optimal test norm and nonconforming trial spaces. An Uzawa type iterative process for solving the discrete mixed fo
Externí odkaz:
https://doaj.org/article/c5c525af66a44e3c90b67fe6e3be5749
Publikováno v:
Computers & Mathematics with Applications. 95:4-18
We summarize some general ideas regarding approximation of mixed variational problems using saddle point reformulation. We consider the concepts of optimal and almost optimal (or α ) test norm and provide estimates for the continuity and stability c
Autor:
Jacob Jacavage, Constantin Bacuta
Publikováno v:
Computational Methods in Applied Mathematics. 19:399-414
We present a non-conforming least squares method for approximating solutions of second-order elliptic problems with discontinuous coefficients. The method is based on a general Saddle Point Least Squares (SPLS) method introduced in previous work base
Autor:
Constantin Bacuta, Jacob Jacavage
Publikováno v:
Applicable Analysis. 99:2755-2775
We consider a preconditioning technique for mixed methods with a conforming test space and a nonconforming trial space. Our method is based on the classical saddle point disccretization theory for ...
Publikováno v:
Computers & Mathematics with Applications. 74:2915-2928
We introduce a least squares method for discretizing the time-harmonic Maxwell equations written as a first order system. The method belongs to the recently introduced least squares approach called the Saddle Point Least Squares (SPLS) method (see Ba
Autor:
Jacob Jacavage, Constantin Bacuta
We present a simple way to discretize and precondition mixed variational formulations. Our theory connects with, and takes advantage of, the classical theory of symmetric saddle point problems and the theory of preconditioning symmetric positive defi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a1f453388b7af7eb8c2d12d836b4a6d